Kokila Perera
Higher Degree by Research Candidate
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
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Education
Date Institution name Country Title University of Ruhuna Sri Lanka Bachelor of Science in Computer Science -
Research Interests
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Journals
Year Citation 2019 Perera, G. K. K., & Wannige, C. T. (2019). A hybrid algorithm for identifying partially conserved regions in multiple sequence alignment. International Journal of Computers and Applications, 43(10), 1-8.
Scopus2 -
Conference Papers
Year Citation 2024 Perera, K. K., & Neumann, A. (2024). Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. In Proceedings of the Genetic and Evolutionary Computation Conference Vol. 325 (pp. 223-231). Online: ACM.
DOI2024 Perera, K. K., Neumann, F., & Neumann, A. (2024). Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15148 LNCS (pp. 116-132). Hagenberg: Springer Nature Switzerland.
DOI2016 Perera, K. K., & Wannige, C. T. (2016). A hybrid algorithm for multiple DNA sequence alignment. In 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer) (pp. 323). IEEE.
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